6 of 6 Semantic Layer Jobs in London

design decisions, and metric calculations. Keep data dictionaries and documentation up to date. Quality Assurance – Support UAT for migrated reports, validating both data accuracy and alignment with business requirements. Semantic Layer Alignment – Map legacy Power BI models into a centralised, cloud-based semantic layer. Reporting Optimisation – Rationalise and enhance existing BI products to improve adoption, performance, and … Proven Migration Experience – Direct experience in migrating reporting/BI assets from on-premise to cloud (ideally Azure/Fabric). BI & Data Modelling Skills – Familiarity with Power BI, semantic models, star schemas, and data warehouse design principles. Documentation Excellence – A passion for producing high-quality documentation with exceptional attention to detail. Technical Acumen – Ability to critique BI schema More ❯

self-serve capabilities, and strategic decision-making across the business. You will collaborate with our Data Manager, Data Engineer, Analysts, and business stakeholders, building the scalable data pipelines and semantic layers that power our reporting, dashboards, and critical decisions. This is a remote, UK based role and the hours of work are 37.5 hours per week. The salary range … deep understanding of ETL/ELT processes and tools (e.g., Fivetran, Airbyte, Stitch). Experience with data visualisation tools (e.g., Mode, Looker, Tableau, Power BI) and designing robust BI semantic layers. Exceptional understanding of data warehousing principles, dimensional modeling, and analytics best practices. Proficiency in Git-based workflows with a strong background in implementing and managing CI/CD More ❯

financial metrics and reporting. Experience with database management and cloud platforms (e.g., Snowflake). Excellent communication and stakeholder management skills. Understanding of Agile methodologies. Nice to Have Experience with semantic layer tools and SSRS. Knowledge of Azure DevOps. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

can be used for effective analysis and decision-making. Partner with subject matter experts to understand the logic and relationships between data objects and build physical data models and semantic layers which reflect those needs. Provide support to colleagues and users, investigate issues and present findings to technical and non-technical stakeholders Collaborate with the Data Engineering and Operations More ❯

processes is also important for success in this role. Key Responsibilities Architect and manage enterprise data solutions in SAP Analytics Cloud (SAC). Design and implement data models and semantic layers to support operational and strategic analytics. Lead integration of data from SAP (e.g., S/4HANA, BW/4HANA) and external platforms using cloud and API technologies. Oversee More ❯

BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to build modular, testable transformation pipelines Practical mastery of LookML and semantic layer design within Looker, including Explores, joins, derived tables, and scalability best practices It will also help you to have Experience establishing and enforcing data governance standards through More ❯